ChatRTX Verified Customer Reviews (2026)

SearchUnify is an enterprise Agentic AI platform that connects fragmented enterprise knowledge and deploys autonomous AI agents to handle customer support operations from first contact to resolution. At its core, the platform is powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), Agentic RAG, and the SCORE (Contextual Relevance Engine) framework, enabling accurate, grounded responses drawn from unified enterprise data. The product suite spans five core tools. Cognitive Search retrieves contextually relevant answers across distributed knowledge sources. SearchUnifyGPT™ generates cited AI responses at every support touchpoint. SUVA, the virtual assistant, handles multi-turn conversations autonomously. Knowbler supports knowledge capture, structuring, and surfacing at the point of need. Agent Helper delivers next-best-action recommendations to support agents during live case resolution. Extending these capabilities, the Agentic AI Suite comprises eight AI agents: AI Support Agent for self-service resolution, AI SupportPlus Agent for autonomous CRM ticket handling, AI Classification Agent for case tagging and routing, AI Escalation Manager for escalation risk prediction, AI Knowledge Agent for automated content creation and gap detection, AI Competency Agent for L2 technical workflow resolution, AI Agent Partner for real-time agent guidance, and AI Case Quality Auditor for evaluating every closed case. SearchUnify supports BYOLLM for LLM flexibility, Model Context Protocol (MCP) for secure system connectivity, and a governance layer covering role-based access control, PII masking, and ISO 27001, HIPAA, and SOC 2 compliance. The platform connects with 100+ enterprise tools including Salesforce, Zendesk, and ServiceNow.

LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.

Scorable is a cutting-edge platform that leverages artificial intelligence for evaluation and monitoring, designed specifically to aid developers in measuring, managing, and improving the performance of applications built with large language models. This platform enables teams to create tailored automated evaluators, often referred to as AI "judges," which assess the responses generated by AI systems and evaluate whether these outputs meet predefined quality metrics such as accuracy, relevance, helpfulness, tone, and compliance with policies. Developers can express their evaluation goals in simple terms, allowing Scorable to design a bespoke assessment framework that tests AI outputs against particular contextual standards, extending beyond conventional benchmarks. Furthermore, these evaluators can be easily integrated into the application's source code, facilitating ongoing oversight of AI systems, such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even during their operation in live environments. This functionality guarantees that developers uphold rigorous standards for AI performance over time and are able to quickly adjust to changing needs, thereby fostering a more responsive approach to application development and deployment. In addition, Scorable's adaptability ensures that as technology evolves, developers are equipped with the tools necessary to maintain optimal performance and quality in their AI applications.